“Hej bib-be” wake word model

Open-source openWakeWord model for the wake word “Hej bib-be”, trained on openwakeword.com from synthetic speech (Danish). It runs fully on-device with the openWakeWord runtime: Home Assistant (openWakeWord add-on), Rhasspy, OpenVoiceOS and any Python project.

Model facts

Wake word
“Hej bib-be”
Language of the training voices
Danish
Trained
2026-07-27 · pipeline V3
Network
64 × 3 layers, 115,000 training steps
Recall, with background noise and room reverb
63.8%
False activations on the benchmark set
8.66 per hour at threshold 0.5
Files
ONNX (405 KB), TFLite (412 KB)
Downloads
2

Recall is measured on 500 synthetic test utterances; false activations on about 10 hours of near-miss phrases, noise and read speech, one activation per frame at or above the threshold with a 2-second refractory period.

Download

Sign in on this page to download the model as ONNX (405 KB) or TFLite (412 KB). Downloads are free; models are licensed for personal and non-commercial use by default (commercial license).

Use it in Home Assistant

  1. Download the TFLite file and copy it to the /share/openwakeword folder of your Home Assistant server.
  2. Install the openWakeWord add-on and restart it so it picks up the new file.
  3. In Settings → Voice assistants, open your assistant and choose “Hej bib-be” as the wake word.
  4. Say “Hej bib-be” to your satellite or to the Home Assistant Voice Preview Edition.

Use it in Python

from openwakeword.model import Model

model = Model(wakeword_models=["hej_bib-be_20260727_135331.onnx"], inference_framework="onnx")
# feed 16 kHz mono int16 audio in 1280-sample frames; a score above the threshold is an activation
scores = model.predict(frame)

Similar wake words in the library

Custom wake words are trained in the Training Center; the library lists every public model with the same measurements.